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multivariate analysis and apply these to research questions within microbiology. To complement the research project, you will have access to a large range of different types of infrastructure available
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in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and multivariate analysis and apply these to research questions within
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the world, but extinction because of climate change and human pressures. Our project will use cutting-edge imaging and AI-driven analysis to reconstruct their life histories and forecast future reef
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multivariate analysis and apply these to research questions within microbiology. To complement the research project, you will have access to a large range of different types of infrastructure available
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the Centre for Analysis and Synthesis (CAS) at the Department of Chemistry, Faculty of Engineering. We are a highly international unit and strive to maintain an efficient and friendly work environment
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
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The Malmberg lab is seeking a postdoctoral researcher for a 24-month fixed-term position focused on materials analysis. Candidates should have experience in analytical chemistry and mass
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experts to integrate biological experiments with data analysis, modeling, and intelligent control systems. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility